AI/ML Engineer

Overview

Remote
$50 - $60
Full Time

Skills

Amazon Web Services
Python
Machine Learning (ML)

Job Details

Job Title: AI/ML Engineer

Location: Remote
Job Type: Full-Time
Department: Engineering / Data Science


Job Summary:

We are seeking a highly motivated and skilled AI/ML Engineer to join our data science team. The ideal candidate will have experience designing, building, and deploying machine learning models and AI-driven applications. You will collaborate with cross-functional teams to create innovative solutions that leverage data to drive business impact.


Responsibilities:

  • Design, develop, and deploy machine learning models for various business problems.

  • Preprocess and analyze large datasets to extract meaningful insights.

  • Collaborate with data scientists, software engineers, and product teams.

  • Build scalable pipelines for training and inference.

  • Optimize models for performance, interpretability, and reliability.

  • Stay updated with the latest research in AI/ML and recommend adoption of emerging techniques.

  • Develop tools and services for model monitoring and retraining.

  • Document experiments, methodologies, and findings for both technical and non-technical audiences.


Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, or a related field.

  • 2+ years of hands-on experience in machine learning and deep learning.

  • Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).

  • Experience with data manipulation and analysis using Pandas, NumPy, etc.

  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and ML lifecycle tools (MLflow, Airflow, etc.).

  • Solid understanding of statistical modeling and machine learning concepts.


Preferred Qualifications:

  • Experience in deploying ML models to production using Docker, Kubernetes, or serverless frameworks.

  • Knowledge of NLP, computer vision, reinforcement learning, or generative AI.

  • Experience with CI/CD pipelines for ML.

  • Contributions to open-source AI/ML projects or published research papers.

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